R package BayesX: R Utilities Accompanying the Software Package BayesX. Functions for exploring and visualising estimation results obtained with BayesX, a free software for estimating structured additive regression models (<>). In addition, functions that allow to read, write and manipulate map objects that are required in spatial analyses performed with BayesX.

This software is also peer reviewed by journal JSS.

References in zbMATH (referenced in 65 articles , 3 standard articles )

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  1. Amaral Turkman, Maria Antónia; Paulino, Carlos Daniel; Müller, Peter: Computational Bayesian statistics. An introduction (2019)
  2. John Monaco; Malka Gorfine; Li Hsu: General Semiparametric Shared Frailty Model: Estimation and Simulation with frailtySurv (2018) not zbMATH
  3. Müeller, Peter; Quintana, Fernando A.; Page, Garritt: Nonparametric Bayesian inference in applications (2018)
  4. Tutz, Gerhard; Berger, Moritz: Tree-structured modelling of categorical predictors in generalized additive regression (2018)
  5. Zhou, Haiming; Hanson, Timothy: A unified framework for Fitting Bayesian semiparametric models to arbitrarily censored survival data, including spatially referenced data (2018)
  6. Benjamin Taylor and Barry Rowlingson: spatsurv: An R Package for Bayesian Inference with Spatial Survival Models (2017) not zbMATH
  7. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  8. Haiming Zhou, Timothy Hanson, Jiajia Zhang: spBayesSurv: Fitting Bayesian Spatial Survival Models Using R (2017) arXiv
  9. John V. Monaco, Malka Gorfine, Li Hsu: General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv (2017) arXiv
  10. Schmidt, Paul; Mühlau, Mark; Schmid, Volker: Fitting large-scale structured additive regression models using Krylov subspace methods (2017)
  11. Heinzl, Felix; Tutz, Gerhard: Additive mixed models with approximate Dirichlet process mixtures: the EM approach (2016)
  12. Klein, Nadja; Kneib, Thomas: Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach (2016)
  13. Simon Wood: Just Another Gibbs Additive Modeler: Interfacing JAGS and mgcv (2016) not zbMATH
  14. Choi, Taeryon; Woo, Yoonsung: A partially linear model using a Gaussian process prior (2015)
  15. Edzer Pebesma; Roger Bivand; Paulo Ribeiro: Software for Spatial Statistics (2015) not zbMATH
  16. Eilers, Paul H. C.; Marx, Brian D.; Durbán, Maria: Twenty years of P-splines (invited article) (2015)
  17. Klein, Nadja; Kneib, Thomas; Lang, Stefan; Sohn, Alexander: Bayesian structured additive distributional regression with an application to regional income inequality in Germany (2015)
  18. Lang, Stefan; Steiner, Winfried J.; Weber, Anett; Wechselberger, Peter: Accommodating heterogeneity and nonlinearity in price effects for predicting brand sales and profits (2015)
  19. Page, Garritt L.; Quintana, Fernando A.: Predictions based on the clustering of heterogeneous functions via shape and subject-specific covariates (2015)
  20. Perry de Valpine; Daniel Turek; Christopher J. Paciorek; Clifford Anderson-Bergman; Duncan Temple Lang; Rastislav Bodik: Programming with models: writing statistical algorithms for general model structures with NIMBLE (2015) arXiv

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